A Review on Comparison of Workflow Scheduling Algorithms with Scientific Workflows

被引：5

作者：

Jain, Aditi ^{[1
]}

Kumari, Raj ^{[1
]}

机构：

[1] Panjab Univ, UIET, Dept IT, Chandigarh, India

来源：

PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMMUNICATION AND NETWORKS | 2017年 / 508卷

关键词：

Cloud computing; Workflows; Scientific workflows; Scheduling algorithms;

D O I：

10.1007/978-981-10-2750-5_63

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Cloud computing is a technology that uses web and the clients can access the information by means of web programs. Rather than storing data on the desktop, it is stored on the cloud. Cloud as the name alludes is an abstraction of some complex infrastructure. Scheduling of tasks with minimum usage of resources and achieving maximum profit is an important concern in cloud computing. Load balancing is an important mechanism taken into account to handle the load on various dependent nodes in distributed environment. Due to large number of tasks in distributed environment, workflows are used for scheduling the tasks. In this paper, Scientific workflows are used to carry out the simulation on task scheduling algorithms with cloud resources. This review paper compares various scheduling algorithms on the basis of parameters like execution time and total cost that includes communication cost for input and output the data and computation cost. From simulation results, it is concluded that all algorithms shows different results depending upon the specific workflow due to varying size of their tasks.

引用

页码：613 / 622

页数：10

共 9 条

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[2]

[Anonymous], 2014, 2014 INT C COMP COMM

[3]

Bala A., 2011, 2 NAT C INF COMM TEC, P26

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